{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['part_1.mat',\n",
       " 'part_10.mat',\n",
       " 'part_11.mat',\n",
       " 'part_12.mat',\n",
       " 'part_2.mat',\n",
       " 'part_3.mat',\n",
       " 'part_4.mat',\n",
       " 'part_5.mat',\n",
       " 'part_6.mat',\n",
       " 'part_7.mat',\n",
       " 'part_8.mat',\n",
       " 'part_9.mat',\n",
       " 'Samples']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# importing libraries\n",
    "import os\n",
    "import numpy as np \n",
    "import pandas as pd\n",
    "import scipy.io\n",
    "import warnings\n",
    "import tensorflow as tf\n",
    "\n",
    "from tensorflow.keras import layers\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras import optimizers\n",
    "from scipy import signal\n",
    "from sklearn.model_selection import KFold, train_test_split\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from matplotlib import pyplot as plt\n",
    "#from kaggle_datasets import KaggleDatasets\n",
    "\n",
    "warnings.filterwarnings('ignore')\n",
    "#os.listdir('/kaggle/input/BloodPressureDataset')\n",
    "os.listdir(r\"C:\\Users\\Puspamita\\Desktop\\EMBEDDED PROJECT PPG\\PPG DATA SET WITH BP FROM KAGGLE\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GPU not found. Using CPU.\n",
      "Number of Replicas: 1\n",
      "test_sample Data type: <class 'numpy.ndarray'>\n",
      "test_sample shape/dimensions: (1, 1000)\n",
      "Total Samples: 1000\n",
      "Number of readings in each sample(column): 3\n",
      "Number of samples in each reading(ECG): 61000\n",
      "9000\n",
      "72\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import scipy.io\n",
    "\n",
    "# Creating a config file/dictionary with some variables.\n",
    "config = {\n",
    "    'seed': 77,\n",
    "    'sample_size': 125,\n",
    "    'train_size': 3000000,  # train on 3 million data points\n",
    "    'train_params': {\n",
    "        'batch_size': 128,\n",
    "        'epochs': 100,\n",
    "        'learn_rate': 1e-3,\n",
    "    }\n",
    "}\n",
    "\n",
    "# Check if GPU is available, otherwise fall back to CPU\n",
    "gpus = tf.config.list_physical_devices('GPU')\n",
    "if gpus:\n",
    "    try:\n",
    "        # Set memory growth to avoid TensorFlow using all GPU memory\n",
    "        for gpu in gpus:\n",
    "            tf.config.experimental.set_memory_growth(gpu, True)\n",
    "        strategy = tf.distribute.MirroredStrategy()  # Use GPU strategy\n",
    "        print('Running on GPU(s)')\n",
    "    except RuntimeError as e:\n",
    "        print(e)\n",
    "else:\n",
    "    print('GPU not found. Using CPU.')\n",
    "    strategy = tf.distribute.get_strategy()  # Default strategy for CPU\n",
    "\n",
    "# Instantiate distribution strategy\n",
    "replicas = strategy.num_replicas_in_sync\n",
    "batch_size = config['train_params']['batch_size'] * replicas\n",
    "print(f'Number of Replicas: {replicas}')\n",
    "\n",
    "# Set seed for reproducibility\n",
    "def SetSeed(seed=None):\n",
    "    \"\"\"Set seed for reproducibility.\"\"\"\n",
    "    tf.random.set_seed(seed)\n",
    "    np.random.seed(seed)\n",
    "\n",
    "SetSeed(seed=config['seed'])\n",
    "\n",
    "# Load a sample .mat file to understand the data dimensions\n",
    "test_sample = scipy.io.loadmat(r\"C:\\Users\\Puspamita\\Desktop\\EMBEDDED PROJECT PPG\\PPG DATA SET WITH BP FROM KAGGLE\\part_1.mat\")['p']\n",
    "print(f'test_sample Data type: {type(test_sample)}')\n",
    "print(f'test_sample shape/dimensions: {test_sample.shape}')\n",
    "\n",
    "print(f\"Total Samples: {len(test_sample[0])}\")\n",
    "print(f\"Number of readings in each sample(column): {len(test_sample[0][0])}\")\n",
    "print(f\"Number of samples in each reading(ECG): {len(test_sample[0][0][2])}\")\n",
    "\n",
    "temp_mat = test_sample[0, 999]\n",
    "temp_length = temp_mat.shape[1]\n",
    "sample_size = config['sample_size']\n",
    "\n",
    "print(temp_length)\n",
    "print((int)(temp_length/sample_size))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''# Creating a config file/dictionary some variables.\n",
    "\n",
    "config = {\n",
    "    'seed': 77,\n",
    "    'sample_size': 125,\n",
    "    'train_size': 3000000, # train on 3 million data points\n",
    "    'train_params':{\n",
    "        'batch_size':128,\n",
    "        'epochs': 10,\n",
    "        'learn_rate': 1e-3,\n",
    "    }\n",
    "}\n",
    "\n",
    "# Initializing TPU\n",
    "tpu = tf.distribute.cluster_resolver.TPUClusterResolver()\n",
    "tf.config.experimental_connect_to_cluster(tpu)\n",
    "tf.tpu.experimental.initialize_tpu_system(tpu)\n",
    "\n",
    "# Instantiate distribution strategy\n",
    "tpu_strategy = tf.distribute.experimental.TPUStrategy(tpu)\n",
    "    \n",
    "auto = tf.data.experimental.AUTOTUNE\n",
    "replicas = tpu_strategy.num_replicas_in_sync\n",
    "Batch_size = config['train_params']['batch_size'] * replicas\n",
    "print(f'Number of Replicas: {replicas}')\n",
    "\n",
    "def SetSeed(seed=None):\n",
    "    \"\"\"Set seed for reproducibility.\"\"\"\n",
    "    tf.random.set_seed(seed)\n",
    "    np.random.seed(seed)\n",
    "    \n",
    "SetSeed(seed=config['seed'])\n",
    "\n",
    "# Getting dataset from GCS\n",
    "# since TPUs stream data from GCS\n",
    "#gcs_dataset_path = KaggleDatasets().get_gcs_path('BloodPressureDataset')\n",
    "#train_files = tf.io.gfile.glob(os.path.join(gcs_dataset_path, '*.mat'))\n",
    "#train_files \n",
    "\n",
    "# Loading a sample .mat file to understand the data dimensions\n",
    "test_sample = scipy.io.loadmat(f'../input/BloodPressureDataset/part_{1}.mat')['p']\n",
    "print(f'test_sample Data type: {type(test_sample)}')\n",
    "print(f'test_sample shape/dimensions: {test_sample.shape}')\n",
    "\n",
    "print(f\"Total Samples: {len(test_sample[0])}\")\n",
    "print(f\"Number of readings in each sample(column): {len(test_sample[0][0])}\")\n",
    "print(f\"Number of samples in each reading(ECG): {len(test_sample[0][0][2])}\")\n",
    "\n",
    "temp_mat = test_sample[0, 999]\n",
    "temp_length = temp_mat.shape[1]\n",
    "sample_size = config['sample_size']\n",
    "\n",
    "\n",
    "print(temp_length)\n",
    "print((int)(temp_length/sample_size))'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PPG_shape: (32061000, 1)\n",
      " ECG_shape: (32061000, 1)\n",
      " BP_shape: (32061000, 1)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x225b00b3450>]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x1200 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Extracting signal data\n",
    "ppg = []\n",
    "bp = []\n",
    "ecg = []\n",
    "\n",
    "for i in range(1000):\n",
    "    temp_mat = test_sample[0, i]\n",
    "    temp_length = temp_mat.shape[1]\n",
    "    for j in range((int)(temp_length/sample_size)):\n",
    "        temp_ppg = temp_mat[0, j*sample_size:(j+1)*sample_size]\n",
    "        temp_ecg = temp_mat[2, j*sample_size:(j+1)*sample_size]\n",
    "        temp_bp = temp_mat[1, j*sample_size:(j+1)*sample_size]\n",
    "        ppg.append(temp_ppg)\n",
    "        ecg.append(temp_ecg)\n",
    "        bp.append(temp_bp)\n",
    "\n",
    "\n",
    "\n",
    "# Reshaping the ecg, ppg and bp signal data into column vectors\n",
    "ppg, ecg, bp = np.array(ppg).reshape(-1,1), np.array(ecg).reshape(-1,1), np.array(bp).reshape(-1,1)\n",
    "print(f'PPG_shape: {ppg.shape}\\n ECG_shape: {ecg.shape}\\n BP_shape: {bp.shape}')\n",
    "\n",
    "\n",
    "##plotting sample ppg, ecg and bp signals\n",
    "##using a sample size of 125\n",
    "fig, ax = plt.subplots(3,1, figsize=(9,12), sharex=True)\n",
    "\n",
    "ax[0].set_title('PPG graph', fontsize=16)\n",
    "ax[0].set_ylabel('Signal Value')\n",
    "ax[0].plot(ppg[:125])\n",
    "\n",
    "ax[1].set_title('ECG graph', fontsize=16)\n",
    "ax[1].set_ylabel('Signal Value')\n",
    "ax[1].plot(ecg[:125])\n",
    "\n",
    "ax[2].set_title('Blood Pressure (BP) graph', fontsize=16)\n",
    "ax[2].set_ylabel('Signal Value')\n",
    "ax[2].set_xlabel('Sample size')\n",
    "ax[2].plot(bp[:125])\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GPU not found. Using CPU.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"sequential\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1024</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">2,048</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1024</span>)           │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │       <span style=\"color: #00af00; text-decoration-color: #00af00\">524,800</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │        <span style=\"color: #00af00; text-decoration-color: #00af00\">32,832</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)              │            <span style=\"color: #00af00; text-decoration-color: #00af00\">65</span> │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ dense (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m)           │         \u001b[38;5;34m2,048\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout (\u001b[38;5;33mDropout\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m)           │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_1 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │       \u001b[38;5;34m524,800\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_1 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_2 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │        \u001b[38;5;34m32,832\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_2 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_3 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)              │            \u001b[38;5;34m65\u001b[0m │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">559,745</span> (2.14 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m559,745\u001b[0m (2.14 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">559,745</span> (2.14 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m559,745\u001b[0m (2.14 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m212s\u001b[0m 9ms/step - loss: 30.8064 - root_mean_squared_error: 40.3796\n",
      "Epoch 2/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m195s\u001b[0m 8ms/step - loss: 22.1329 - root_mean_squared_error: 28.7197\n",
      "Epoch 3/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m93s\u001b[0m 4ms/step - loss: 21.2884 - root_mean_squared_error: 27.9524\n",
      "Epoch 4/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m200s\u001b[0m 9ms/step - loss: 21.0012 - root_mean_squared_error: 27.7082\n",
      "Epoch 5/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m213s\u001b[0m 9ms/step - loss: 20.8688 - root_mean_squared_error: 27.5756\n",
      "Epoch 6/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m163s\u001b[0m 7ms/step - loss: 20.7772 - root_mean_squared_error: 27.4847\n",
      "Epoch 7/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m91s\u001b[0m 4ms/step - loss: 20.7054 - root_mean_squared_error: 27.4107\n",
      "Epoch 8/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m91s\u001b[0m 4ms/step - loss: 20.6505 - root_mean_squared_error: 27.3675\n",
      "Epoch 9/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m92s\u001b[0m 4ms/step - loss: 20.5988 - root_mean_squared_error: 27.3060\n",
      "Epoch 10/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m95s\u001b[0m 4ms/step - loss: 20.5733 - root_mean_squared_error: 27.2892\n",
      "\u001b[1m93750/93750\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m91s\u001b[0m 971us/step\n",
      "Model RMSE: 26.261030197143555\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "from tensorflow.keras import layers, optimizers, Sequential\n",
    "from sklearn.model_selection import train_test_split\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# Creating train and test sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(ppg, bp, test_size=0.30)\n",
    "\n",
    "# GPU/CPU Strategy\n",
    "gpus = tf.config.list_physical_devices('GPU')\n",
    "if gpus:\n",
    "    try:\n",
    "        # Set memory growth to avoid using all GPU memory\n",
    "        for gpu in gpus:\n",
    "            tf.config.experimental.set_memory_growth(gpu, True)\n",
    "        strategy = tf.distribute.MirroredStrategy()  # Use GPU strategy if available\n",
    "        print('Running on GPU(s)')\n",
    "    except RuntimeError as e:\n",
    "        print(e)\n",
    "else:\n",
    "    print('GPU not found. Using CPU.')\n",
    "    strategy = tf.distribute.get_strategy()  # Default strategy for CPU\n",
    "\n",
    "# Baseline Sequential Model\n",
    "def Model(input_dim, num_class):\n",
    "    model = Sequential()\n",
    "\n",
    "    model.add(layers.Dense(1024, input_dim=input_dim, activation='relu'))\n",
    "    model.add(layers.Dropout(0.5))  # Dropout layer to avoid overfitting\n",
    "\n",
    "    model.add(layers.Dense(512, activation='relu')) \n",
    "    model.add(layers.Dropout(0.5))\n",
    "\n",
    "    model.add(layers.Dense(64, activation='relu'))    \n",
    "    model.add(layers.Dropout(0.25))\n",
    "\n",
    "    model.add(layers.Dense(num_class, activation='linear'))  # Output layer for regression\n",
    "    \n",
    "    return model\n",
    "\n",
    "# Input dimension and number of output classes\n",
    "Input_dim = X_train.shape[1]\n",
    "Classes = 1\n",
    "\n",
    "# Creating and compiling the model under the strategy scope (GPU/CPU)\n",
    "with strategy.scope():\n",
    "    model = Model(input_dim=Input_dim, num_class=Classes)\n",
    "    model.compile(loss=tf.keras.losses.MeanAbsoluteError(),\n",
    "                  optimizer=optimizers.SGD(learning_rate=config['train_params']['learn_rate']),\n",
    "                  metrics=[tf.keras.metrics.RootMeanSquaredError()]\n",
    "                 )\n",
    "model.summary()\n",
    "\n",
    "# Training the model\n",
    "history = model.fit(X_train[:config['train_size']],  # using the first 3 million rows\n",
    "                    y_train[:config['train_size']].squeeze(),\n",
    "                    epochs=config['train_params']['epochs'],\n",
    "                    batch_size=batch_size,\n",
    "                    verbose=1\n",
    "                   )\n",
    "\n",
    "# Predicting on the test set using the model\n",
    "nn_predictions = model.predict(X_test[:config['train_size']])\n",
    "\n",
    "# Calculate Root Mean Squared Error\n",
    "rmse = tf.keras.metrics.RootMeanSquaredError()\n",
    "rmse.update_state(y_test[:config['train_size']], nn_predictions)\n",
    "print(f'Model RMSE: {rmse.result().numpy()}')\n",
    "\n",
    "# Plot training loss and RMSE\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.title('Train loss against Root Mean Squared Error')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epoch')\n",
    "plt.plot(history.history['loss'])\n",
    "plt.plot(history.history['root_mean_squared_error'])\n",
    "plt.legend(['Loss', 'Root Mean Squared Error'])\n",
    "plt.show()\n",
    "\n",
    "# Visualize predicted BP and the true BP\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.title(\"True BP values vs Predicted BP values\")\n",
    "plt.xlabel('Number of samples taken')\n",
    "plt.ylabel('BP values')\n",
    "plt.plot(y_test[:100])  # Plot only the first 100 samples\n",
    "plt.plot(nn_predictions[:100])\n",
    "plt.legend(['True_BP', 'Predicted_BP'])\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GPU not found. Using CPU.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"sequential\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1024</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">2,048</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1024</span>)           │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │       <span style=\"color: #00af00; text-decoration-color: #00af00\">524,800</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │        <span style=\"color: #00af00; text-decoration-color: #00af00\">32,832</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)              │            <span style=\"color: #00af00; text-decoration-color: #00af00\">65</span> │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ dense (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m)           │         \u001b[38;5;34m2,048\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout (\u001b[38;5;33mDropout\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m)           │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_1 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │       \u001b[38;5;34m524,800\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_1 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_2 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │        \u001b[38;5;34m32,832\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_2 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_3 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)              │            \u001b[38;5;34m65\u001b[0m │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">559,745</span> (2.14 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m559,745\u001b[0m (2.14 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">559,745</span> (2.14 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m559,745\u001b[0m (2.14 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m247s\u001b[0m 10ms/step - loss: 29.6492 - root_mean_squared_error: 38.9564\n",
      "Epoch 2/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m286s\u001b[0m 12ms/step - loss: 21.7175 - root_mean_squared_error: 28.2219\n",
      "Epoch 3/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m259s\u001b[0m 9ms/step - loss: 20.9253 - root_mean_squared_error: 27.5562\n",
      "Epoch 4/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m90s\u001b[0m 4ms/step - loss: 20.7030 - root_mean_squared_error: 27.3808\n",
      "Epoch 5/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m90s\u001b[0m 4ms/step - loss: 20.5812 - root_mean_squared_error: 27.2594\n",
      "Epoch 6/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m92s\u001b[0m 4ms/step - loss: 20.4811 - root_mean_squared_error: 27.1601\n",
      "Epoch 7/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m93s\u001b[0m 4ms/step - loss: 20.4213 - root_mean_squared_error: 27.0903\n",
      "Epoch 8/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m99s\u001b[0m 4ms/step - loss: 20.3741 - root_mean_squared_error: 27.0547\n",
      "Epoch 9/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m97s\u001b[0m 4ms/step - loss: 20.3395 - root_mean_squared_error: 27.0021\n",
      "Epoch 10/10\n",
      "\u001b[1m23438/23438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m95s\u001b[0m 4ms/step - loss: 20.3196 - root_mean_squared_error: 26.9844\n",
      "\u001b[1m93750/93750\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m99s\u001b[0m 1ms/step\n",
      "Mean Absolute Error (MAE): 19.45140334360269\n",
      "Root Mean Squared Error (RMSE): 26.117653552132392\n",
      "R² (Coefficient of Determination): 0.1492454407371001\n",
      "Model RMSE (TensorFlow): 26.117652893066406\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "from tensorflow.keras import layers, optimizers, Sequential\n",
    "from sklearn.model_selection import train_test_split\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n",
    "\n",
    "# Creating train and test sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(ppg, bp, test_size=0.30)\n",
    "\n",
    "# GPU/CPU Strategy\n",
    "gpus = tf.config.list_physical_devices('GPU')\n",
    "if gpus:\n",
    "    try:\n",
    "        # Set memory growth to avoid using all GPU memory\n",
    "        for gpu in gpus:\n",
    "            tf.config.experimental.set_memory_growth(gpu, True)\n",
    "        strategy = tf.distribute.MirroredStrategy()  # Use GPU strategy if available\n",
    "        print('Running on GPU(s)')\n",
    "    except RuntimeError as e:\n",
    "        print(e)\n",
    "else:\n",
    "    print('GPU not found. Using CPU.')\n",
    "    strategy = tf.distribute.get_strategy()  # Default strategy for CPU\n",
    "\n",
    "# Baseline Sequential Model\n",
    "def Model(input_dim, num_class):\n",
    "    model = Sequential()\n",
    "\n",
    "    model.add(layers.Dense(1024, input_dim=input_dim, activation='relu'))\n",
    "    model.add(layers.Dropout(0.5))  # Dropout layer to avoid overfitting\n",
    "\n",
    "    model.add(layers.Dense(512, activation='relu')) \n",
    "    model.add(layers.Dropout(0.5))\n",
    "\n",
    "    model.add(layers.Dense(64, activation='relu'))    \n",
    "    model.add(layers.Dropout(0.25))\n",
    "\n",
    "    model.add(layers.Dense(num_class, activation='linear'))  # Output layer for regression\n",
    "    \n",
    "    return model\n",
    "\n",
    "# Input dimension and number of output classes\n",
    "Input_dim = X_train.shape[1]\n",
    "Classes = 1\n",
    "\n",
    "# Creating and compiling the model under the strategy scope (GPU/CPU)\n",
    "with strategy.scope():\n",
    "    model = Model(input_dim=Input_dim, num_class=Classes)\n",
    "    model.compile(loss=tf.keras.losses.MeanAbsoluteError(),\n",
    "                  optimizer=optimizers.SGD(learning_rate=config['train_params']['learn_rate']),\n",
    "                  metrics=[tf.keras.metrics.RootMeanSquaredError()]\n",
    "                 )\n",
    "model.summary()\n",
    "\n",
    "# Training the model\n",
    "history = model.fit(X_train[:config['train_size']],  # using the first 3 million rows\n",
    "                    y_train[:config['train_size']].squeeze(),\n",
    "                    epochs=config['train_params']['epochs'],\n",
    "                    batch_size=batch_size,\n",
    "                    verbose=1\n",
    "                   )\n",
    "\n",
    "# Predicting on the test set using the model\n",
    "nn_predictions = model.predict(X_test[:config['train_size']])\n",
    "\n",
    "# Convert the predictions and true values back from tensor format if needed\n",
    "y_true = y_test[:config['train_size']]\n",
    "y_pred = nn_predictions\n",
    "\n",
    "# Statistical accuracy measures\n",
    "mae = mean_absolute_error(y_true, y_pred)\n",
    "rmse = np.sqrt(mean_squared_error(y_true, y_pred))\n",
    "r2 = r2_score(y_true, y_pred)\n",
    "\n",
    "print(f'Mean Absolute Error (MAE): {mae}')\n",
    "print(f'Root Mean Squared Error (RMSE): {rmse}')\n",
    "print(f'R² (Coefficient of Determination): {r2}')\n",
    "\n",
    "# Calculate Root Mean Squared Error using TensorFlow\n",
    "rmse_metric = tf.keras.metrics.RootMeanSquaredError()\n",
    "rmse_metric.update_state(y_true, y_pred)\n",
    "print(f'Model RMSE (TensorFlow): {rmse_metric.result().numpy()}')\n",
    "\n",
    "# Plot training loss and RMSE\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.title('Train loss against Root Mean Squared Error')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epoch')\n",
    "plt.plot(history.history['loss'])\n",
    "plt.plot(history.history['root_mean_squared_error'])\n",
    "plt.legend(['Loss', 'Root Mean Squared Error'])\n",
    "plt.show()\n",
    "\n",
    "# Visualize predicted BP and the true BP\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.title(\"True BP values vs Predicted BP values\")\n",
    "plt.xlabel('Number of samples taken')\n",
    "plt.ylabel('BP values')\n",
    "plt.plot(y_true[:100])  # Plot only the first 100 samples\n",
    "plt.plot(y_pred[:100])\n",
    "plt.legend(['True_BP', 'Predicted_BP'])\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'tpu_strategy' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[10], line 25\u001b[0m\n\u001b[0;32m     22\u001b[0m Classes \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[0;32m     24\u001b[0m \u001b[38;5;66;03m# Creating the model on TPU\u001b[39;00m\n\u001b[1;32m---> 25\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m tpu_strategy\u001b[38;5;241m.\u001b[39mscope():\n\u001b[0;32m     26\u001b[0m     model \u001b[38;5;241m=\u001b[39m Model(input_dim\u001b[38;5;241m=\u001b[39mInput_dim, num_class\u001b[38;5;241m=\u001b[39mClasses)\n\u001b[0;32m     27\u001b[0m     model\u001b[38;5;241m.\u001b[39mcompile(loss\u001b[38;5;241m=\u001b[39mtf\u001b[38;5;241m.\u001b[39mkeras\u001b[38;5;241m.\u001b[39mlosses\u001b[38;5;241m.\u001b[39mMeanAbsoluteError(),\n\u001b[0;32m     28\u001b[0m                   optimizer\u001b[38;5;241m=\u001b[39moptimizers\u001b[38;5;241m.\u001b[39mSGD(lr\u001b[38;5;241m=\u001b[39mconfig[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtrain_params\u001b[39m\u001b[38;5;124m'\u001b[39m][\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlearn_rate\u001b[39m\u001b[38;5;124m'\u001b[39m]),\n\u001b[0;32m     29\u001b[0m                   metrics\u001b[38;5;241m=\u001b[39m[tf\u001b[38;5;241m.\u001b[39mkeras\u001b[38;5;241m.\u001b[39mmetrics\u001b[38;5;241m.\u001b[39mRootMeanSquaredError()]\n\u001b[0;32m     30\u001b[0m                  )\n",
      "\u001b[1;31mNameError\u001b[0m: name 'tpu_strategy' is not defined"
     ]
    }
   ],
   "source": [
    "'''# creating train and test sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(ppg, bp, test_size=0.30)\n",
    "\n",
    "#Baseline Sequential Model\n",
    "def Model(input_dim, num_class):\n",
    "    model = Sequential()\n",
    "\n",
    "    model.add(layers.Dense(1024, input_dim = input_dim, activation='relu'))\n",
    "    model.add(layers.Dropout(0.5))\n",
    "\n",
    "    model.add(layers.Dense(512, 'relu')) \n",
    "    model.add(layers.Dropout(0.5))\n",
    "\n",
    "    model.add(layers.Dense(64, 'relu'))    \n",
    "    model.add(layers.Dropout(0.25))\n",
    "    model.add(layers.Dense(num_class, 'linear'))\n",
    "    \n",
    "    \n",
    "    return model\n",
    "\n",
    "Input_dim = X_train.shape[1]\n",
    "Classes = 1\n",
    "\n",
    "# Creating the model on TPU\n",
    "with tpu_strategy.scope():\n",
    "    model = Model(input_dim=Input_dim, num_class=Classes)\n",
    "    model.compile(loss=tf.keras.losses.MeanAbsoluteError(),\n",
    "                  optimizer=optimizers.SGD(lr=config['train_params']['learn_rate']),\n",
    "                  metrics=[tf.keras.metrics.RootMeanSquaredError()]\n",
    "                 )\n",
    "model.summary()\n",
    "\n",
    "# Training the model\n",
    "history = model.fit(X_train[:config['train_size']], # using the first 3 million rows.\n",
    "                    y_train[:config['train_size']].squeeze(),\n",
    "                    epochs=config['train_params']['epochs'],\n",
    "                    batch_size=Batch_size,\n",
    "                    verbose = 1\n",
    "                   )\n",
    "\n",
    "#Predicting on the test set using the nn(neural network) model\n",
    "nn_predictions = model.predict(X_test[:config['train_size']])\n",
    "\n",
    "rmse = tf.keras.metrics.RootMeanSquaredError()\n",
    "rmse.update_state(y_test[:config['train_size']], nn_predictions)\n",
    "print(f'Model RMSE: {rmse.result().numpy()}')\n",
    "\n",
    "plt.title('Train loss against Root_Mean_Squared_error')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epoch')\n",
    "plt.plot(history.history['loss'])\n",
    "plt.plot(history.history['root_mean_squared_error'])\n",
    "plt.legend(['Loss', 'Root_Mean_Squared_error'])\n",
    "\n",
    "# Visualize predicted BP and the True BP\n",
    "plt.title(\"===True BP values Vs Predicted BP values===\")\n",
    "plt.xlabel('Number of samples taken')\n",
    "plt.ylabel('BP values')\n",
    "plt.plot(y_test[:100]) #only plotting 100 samples\n",
    "plt.plot(nn_predictions[:100])\n",
    "plt.legend(['True_BP', 'Predicted_BP'])'''"
   ]
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